data analytics course

10 Best + Free Online Data Analytics Courses

The need for skilled data scientists remains high, with IBM reportedly estimating a 28 percent increase in the number of employed data scientists over the next two years.
Businesses of all sizes are beginning to capitalize on the tremendous increase in data and the new big data technologies that are becoming available for analyzing and extracting value from it.
As a result, it’s an excellent choice for anyone searching for well-paying work in a cutting-edge field.
Individuals who pursue a traditional academic path, such as studying for one of the best US data science master’s degree courses, as I recently described, are not the only ones who can benefit.
A dedicated individual could perhaps use a plethora of free online courses and tutorials as a stepping stone to a fulfilling and successful career.

List of Free Online Data Analytics Courses

1. Business Analytics: From Data to Insights (Wharton Executive Education)

This specialized program’s purpose is to help managers and leaders turn data into a competitive advantage. Enrolling in the hands-on program will provide you with all of the knowledge you need to understand how data and insights work, improve long-term predictions, and prescribe future actions so you can make better business decisions. To maximize learning, it is structured into nine modules, each of which includes video lectures, quizzes, assignments, and real-world examples. The program covers data visualization and interpretation, optimization models, decision trees, forecasting, A/B testing, and other methodologies and tools.

What you will learn –

  • Get a better understanding of business analytics with an expanded curriculum offered through a blend of video and live online courses.
  •  Include subjects such as obtaining information, analyzing data to forecast employee performance, and more.
  •  Learn how to define and estimate future occurrences, develop behavior change suggestions, develop data-driven forecasts, and more.
  •  Learn about positive outcomes, application and toolset, and business analytics applications.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 12 weeks approx

2. Post Graduate Program in Data Analytics (Purdue University)

Individuals interested in advancing their data analytics careers through postgraduate studies may benefit from this program. Simplilearn’s advanced program will provide you with a broad grasp of key tools and skills used in data analytics and data science, including Python, R, Statistics, Tableau, PowerBI, and others. Enrolling in the program will give you access to video lectures, hands-on projects, capstone projects, graded assignments, and practice exercises to help you learn about a variety of data analytics topics. You will be qualified to work as a data analyst in any organization after completing the program.

What you will learn –

  • A thorough program that uses case studies and industry-aligned projects to provide a hands-on approach to bringing important data analytics concepts to life.
  •  Develop a solid foundation in programming languages such as Python and R, as well as statistics concepts and methodologies.
  •  Learn how to use Python to assess data, run basic statistical analysis, create meaningful data visualizations, and forecast future trends.
  •  With Tableau Desktop 10 training, you may learn a range of skills in the Tableau platform, such as creating visualizations, organizing data, and constructing a dashboard.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 32 weeks approx

Instructor – Patrick J. Wolfe, Ronald Van Loon

 

3. Applied Business Analytics (MIT Management Executive Education)

This program is part of a specialized course taught by certified educators that teaches students how to understand and implement a creative approach to brand building. This curriculum will teach you how to use data to make better decisions, as well as a practical framework that incorporates models, decisions, data, and value. You’ll also learn about analytics methodologies and which ones are appropriate for various situations, as well as how to deal with and leverage big data for better business outcomes. The course is designed for executives and managers who want to discover the most effective strategies for achieving significant analytics success.

What you will learn –

  • Learn how to forecast customer preferences through grouping and gain a better understanding of the tools and frameworks used to create predictive models.
  •  Learn about customer analytics so you can better serve your customers by using business analytics to comprehend and analyse data in real estate technologies.
  •  Learn about managerial decision-making with corporate analytics, as well as machine learning algorithms and decision tools in inventory management.
  •  Get your hands on a custom workbook that will serve as a project action plan as well as case studies and examples to help you test your knowledge throughout the course.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 6 weeks approx

Instructor – Dimitris Bertsimas

4. Google Data Analytics Professional Certificate by Google (Coursera)

This Google-created curriculum will teach you how to clean and organize data for analysis, as well as execute analyses and computations using SQL, R, and spreadsheets. This curriculum uses a combination of videos, hands-on labs, and exams to introduce you to key analytical skills. You will have a complete understanding of the procedures and processes used by data analysts on a regular basis after completing this comprehensive training. After completing the training, you’ll be able to visualize and share data insights via dashboards, presentations, and regularly used visualization platforms.

What you will learn –

  • Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. 
  •  Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. 
  • Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. 
  •  Evaluate the role of analytics in the data ecosystem. 
  • Learn about effective questioning techniques that can help guide analysis. 
  •  Gain an understanding of data-driven decision-making and how data analysts present findings.
  • Explore a variety of real-world business scenarios to support an understanding of questioning and decision-making.
  • Discover how and why spreadsheets are an important tool for data analysts.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration –  24 weeks approx

Instructor – Google Career Certificates

5. Coursera Data Analytics Courses (Coursera)

This Google-created curriculum will teach you how to clean and organize data for analysis, as well as execute analyses and computations using SQL, R, and spreadsheets. This curriculum uses a combination of videos, hands-on labs, and exams to introduce you to key analytical skills. You will have a complete understanding of the procedures and processes used by data analysts on a regular basis after completing this comprehensive training. After completing the training, you’ll be able to visualize and share data insights via dashboards, presentations, and regularly used visualization platforms.

What you will learn –

  • Cover the fundamental ideas of data analytics and data science employed by industry professionals in their company.
  • Learn from world-class instructors and institutions who have built applied, skill-based data science programmes.
  • Learn how to use Excel with MySQL to do analytic tasks that will help you grow your business.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – Self Placed

6. Advanced Business Analytics Program (Wharton Executive Education)

This program is designed for those who want to learn how to use data analytics techniques and technologies in real-world situations. Through interactive lessons, practitioner talks, and peer networking, you may learn at your own pace in this flexible course. It includes six fundamental courses from which you can select two special topics, all of which are designed to help you understand how analytics may be applied in your industry. A Digital certificate from the University of Pennsylvania will also be issued upon successful completion of the program.

What you will learn –

  • A step-by-step tutorial to advanced business analytics that focuses on the actual application of concepts.
  • Gain in-depth knowledge of any two of the following modules: data analytics and executive decision-making, the data pipeline, and prescriptive analytics.
  •  Gain knowledge of predictive analytics and AI/ML, as well as the business implications of AI and analytics and organizational change.
  •  Begin a 12-month learning adventure with more than 200 hours of interactive learning with industry professionals, academics, and an amazing peer group in business analytics.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 12 months approx

7. Data Analyst Nanodegree Program (Udacity)

The Nanodegree program at Udacity can help anyone who is interested in data analysis programs. This session will teach you the fundamentals of data analysis, practical statistics, data wrangling, data visualization using Python, and much more. Real-world projects and immersive materials built in conjunction with top-tier companies are included in this Nano degree program to help you grasp tech skills. Throughout the program, you will have a one-on-one technical mentor who will support you at every level of your studies. The instructor will give you a personal career adviser and career aid to aid you in finding work.

What you will learn –

  • Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like NumPy and Pandas.
  • Learn how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models
  • Learn the data wrangling process of gathering, assessing, and cleaning data. Learn to use Python to wrangle data programmatically and prepare it for analysis.
  • Learn to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create a compelling story.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 16 weeks approx

Instructor – Josh Bernhard, Sebastian Thrun, Derek Steer, Juno Lee

8. Data Analytics for Decision Making by Queen Mary University of London (Future Learn)

Learn the fundamental principles of data analytics while tackling basic data analytic difficulties with world-class specialists on practical programming exercises in Python. Everyday activities, such as transportation, healthcare, and shopping, are leaving digital traces that are changing the workplace. Data analytics is the term for the study of this “big data.”
As the world becomes more data-driven, many businesses are looking for workers with analytical skills who can help them make sense of it all by extracting insights and knowledge from the statistics that are generated all around us. This is where data scientists come into play.

What you will learn –

  • Apply the principles of data analytics to data science problems.
  • Explore data using visualization techniques.
  • Explain the principles and applications of Machine Learning.
  • Build Machine Learning models from datasets.
  • Recognize the importance of data ethics and data reliability.
  • Explore how data impacts business, legal and ethical issues.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 12 weeks approx

Instructor – Usman Naeem, Jesus Requena, Naomi Arnold

9. Learning Data Analytics (Linkedin Learning)

Everyone who works with data will have to do some analytics at some time. This popular training course, which has been considerably expanded and enhanced for 2018, teaches both analysts and non-analysts the principles of data analytics and reporting. What are data analytics and data analysts, and what do they do? Robin Hunt explains. She then shows you how to identify your data set—including data you don’t have—as well as comprehend and summarise it. She also shows how to perform specific tasks such as creating workflow diagrams, cleaning data, and joining data for reporting. Best practices for data analytics initiatives, such as data verification and effective meetings, are discussed, as well as common missteps to avoid. You’ll then discover how to repurpose, chart, and pivot data. Get Microsoft Excel’s most popular data analytics tool’s most valuable productivity-boosting shortcuts and troubleshooting advice.

What you will learn –

  • Define data analysis and data analyst.
  • List roles in data analysis.
  • Explain data fields and types.
  • Define syntax.
  • Explain how to interpret existing data.
  • Describe data best practices.
  • Repurpose data.
  • Create a data dictionary.
  • Compare and contrast linking versus embedding charts and data.
  • Build pivot charts with slicers.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 2 hours approx

Instructor – Robin Hunt

10. Data Analytics Basics for Everyone (Edx)

Everyone who works with data will have to do some analytics at some time. This popular training course, which has been considerably expanded and enhanced for 2018, teaches both analysts and non-analysts the principles of data analytics and reporting. What are data analytics and data analysts, and what do they do? Robin Hunt explains. She then shows you how to identify your data set—including data you don’t have—as well as comprehend and summarise it. She also shows how to perform specific tasks such as creating workflow diagrams, cleaning data, and joining data for reporting. Best practices for data analytics initiatives, such as data verification and effective meetings, are discussed, as well as common missteps to avoid. You’ll then discover how to repurpose, chart, and pivot data. Get Microsoft Excel’s most popular data analytics tool’s most valuable productivity-boosting shortcuts and troubleshooting advice.

What you will learn –

  • Explain what Data Analytics is and the key steps in the Data Analytics process.
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst.
  • Describe the different types of data structures, file formats, and sources of data.
  • Explain the use for different types of data repositories, the ETL process, and Big Data platforms.
  • Describe the process and tools for gathering data, wrangling data, mining and analyzing data, and visualizing data.
  • List the different career opportunities in Data Analysis and resources for getting skilled in this domain.
  • Demonstrate your understanding of gathering, wrangling, mining, analyzing, and visualizing data.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 5 weeks approx

Instructor – Rav Ahuja

Leave a Comment

Your email address will not be published. Required fields are marked *